A challenging goal of molecular epidemiology is to identify an individual's
risk of cancer. Molecular epidemiology integrates molecular biology, in vi
tro and in vivo laboratory models, biochemistry, and epidemiology to infer
individual cancer risk. Molecular dosimetry of carcinogen exposure is an im
portant facet of molecular epidemiology and cancer risk assessment. Carcino
gen macromolecular adduct levels, cytogenetic alterations and somatic cell
mutations can be measured to determine the biologically-effective doses of
carcinogens. Molecular epidemiology also explores host cancer susceptibilit
ies, such as carcinogen metabolism, DNA repair, and epigenetic and genetic
alterations in tumor suppressor genes. p53 is a prototype tumor suppressor
gene and is well suited for analysis of mutational spectrum in human cancer
. The analyses of germline and somatic mutation spectra of the p53 tumor su
ppressor gene provide important clues for cancer risk assessment in molecul
ar epidemiology. For example, characteristic p53 mutation spectra have been
associated with: dietary aflatoxin B-1 exposure and hepatocellular carcino
ma; sunlight exposure and skin carcinoma; and cigarette smoking and lung ca
ncer. The mutation spectrum also reveals those p53 mutants that provide cel
ls with a selective clonal-expansion advantage during the multistep process
of carcinogenesis. The p53 gene encodes a multifunctional protein involved
in the cellular response to stress including DNA damage and hypoxia. Certa
in p53 mutants lose tumor suppressor activity and gain oncogenic activity,
which is one explanation for the commonality of p53 mutations in human canc
er. Molecular epidemiological results can be evaluated for causation by inf
erence of the Bradford-Hill criteria, i.e. strength of association (consist
ency, specificity and temporality) and biological plausibility, which utili
zes the 'weight of the evidence principle'. (C) 1998 Elsevier Science Irela
nd Ltd. All rights reserved.